Triple

T13480233
Position Surface form Disambiguated ID Type / Status
Subject Up Country E318352 entity
Predicate hasTown P847 FINISHED
Object Hatton E460404 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hatton | Statement: [Up Country, hasTown, Hatton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatton
Context triple: [Up Country, hasTown, Hatton]
  • A. Hatton
    Hatton is a small suburban area in West London, England, situated near Heathrow Airport and within the London Borough of Hounslow.
  • B. Hatton
    Hatton is an English surname historically associated with several notable figures in British political and social life.
  • C. Hatton chosen
    Hatton is a town in Sri Lanka’s hill country known as a gateway to tea plantations and the pilgrimage site of Adam’s Peak.
  • D. Hatton
    Hatton is a village and civil parish in South Derbyshire, England, known historically for its railway connections and local industry.
  • E. Hattonrigg
    Hattonrigg is a residential area forming part of the town of Bellshill in North Lanarkshire, Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75481b6f48190b6cd6cef3e8dee20 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.